| | |
| | | #include "maxpool_layer.h" |
| | | #include "cuda.h" |
| | | #include "gemm.h" |
| | | #include <stdio.h> |
| | | |
| | | image get_maxpool_image(maxpool_layer l) |
| | |
| | | |
| | | maxpool_layer make_maxpool_layer(int batch, int h, int w, int c, int size, int stride, int padding) |
| | | { |
| | | fprintf(stderr, "Maxpool Layer: %d x %d x %d image, %d size, %d stride\n", h,w,c,size,stride); |
| | | maxpool_layer l = {0}; |
| | | l.type = MAXPOOL; |
| | | l.batch = batch; |
| | |
| | | l.w = w; |
| | | l.c = c; |
| | | l.pad = padding; |
| | | l.out_w = (w + 2*padding - size + 1)/stride + 1; |
| | | l.out_h = (h + 2*padding - size + 1)/stride + 1; |
| | | l.out_w = (w + padding - size) / stride + 1; |
| | | l.out_h = (h + padding - size) / stride + 1; |
| | | l.out_c = c; |
| | | l.outputs = l.out_h * l.out_w * l.out_c; |
| | | l.inputs = h*w*c; |
| | |
| | | l.indexes = calloc(output_size, sizeof(int)); |
| | | l.output = calloc(output_size, sizeof(float)); |
| | | l.delta = calloc(output_size, sizeof(float)); |
| | | l.forward = forward_maxpool_layer; |
| | | l.backward = backward_maxpool_layer; |
| | | #ifdef GPU |
| | | l.forward_gpu = forward_maxpool_layer_gpu; |
| | | l.backward_gpu = backward_maxpool_layer_gpu; |
| | | l.indexes_gpu = cuda_make_int_array(output_size); |
| | | l.output_gpu = cuda_make_array(l.output, output_size); |
| | | l.delta_gpu = cuda_make_array(l.delta, output_size); |
| | | #endif |
| | | l.bflops = (l.size*l.size*l.c * l.out_h*l.out_w) / 1000000000.; |
| | | fprintf(stderr, "max %d x %d / %d %4d x%4d x%4d -> %4d x%4d x%4d %5.3f BF\n", size, size, stride, w, h, c, l.out_w, l.out_h, l.out_c, l.bflops); |
| | | return l; |
| | | } |
| | | |
| | |
| | | l->w = w; |
| | | l->inputs = h*w*l->c; |
| | | |
| | | l->out_w = (w + 2*l->pad - l->size + 1)/l->stride + 1; |
| | | l->out_h = (h + 2*l->pad - l->size + 1)/l->stride + 1; |
| | | l->out_w = (w + l->pad - l->size) / l->stride + 1; |
| | | l->out_h = (h + l->pad - l->size) / l->stride + 1; |
| | | l->outputs = l->out_w * l->out_h * l->c; |
| | | int output_size = l->outputs * l->batch; |
| | | |
| | |
| | | |
| | | void forward_maxpool_layer(const maxpool_layer l, network_state state) |
| | | { |
| | | if (!state.train) { |
| | | forward_maxpool_layer_avx(state.input, l.output, l.indexes, l.size, l.w, l.h, l.out_w, l.out_h, l.c, l.pad, l.stride, l.batch); |
| | | return; |
| | | } |
| | | |
| | | int b,i,j,k,m,n; |
| | | int w_offset = -l.pad; |
| | | int h_offset = -l.pad; |
| | | int w_offset = -l.pad / 2; |
| | | int h_offset = -l.pad / 2; |
| | | |
| | | int h = l.out_h; |
| | | int w = l.out_w; |